In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the ...

Launched by policy fellows at the Aspen Institute, the initiative aims to ensure ed-tech tools do not reinforce racial biases, offering a toolkit, a school procurement guide and a certification backed ...

India embraces ethical AI with fairness, transparency, and trust at its core. Businesses and policymakers unite to shape a ...

Data-driven algorithms can help planners make more informed decisions, but the technology comes with its own risks of error, ...

Grok, the artificial intelligence (AI) chatbot embedded in Elon Musk’s X, is back in the headlines after calling itself ...

The president’s executive order could reshape chatbots’ politics. But experts say training AI models to be neutral is easier ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

By BERNARD BEMPONG  The regulatory landscape in banking is becoming increasingly complex with financial institutions facing ...

Introduction In the 21st century, technology does not merely evolve, it accelerates. One of the most significant accelerants of this digital age is Artificial Intelligence (AI), a transformative force ...

As algorithmic systems become central to assessment, content delivery, and decision-making, their potential to reinforce ...